Determination of endometrial carcinoma with gene expression based on optimized Elman neural network

DOI10.1016/j.amc.2018.09.005zbMath1428.92032OpenAlexW2893592049MaRDI QIDQ2007794

Maoxing Liu, Yanping Bai, Haiyan Wang, Hong-ping Hu

Publication date: 22 November 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2018.09.005

zbMATH Keywords

gene expressionElman neural networkleave-one-out cross validationgrey wolf optimizerparticular swarm optimizationendometrial carcinoma

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Biochemistry, molecular biology (92C40)

Uses Software

• GWO

Cites Work

• Project scheduling heuristics-based standard PSO for task-resource assignment in heterogeneous grid
• GWO
• Identification of influential spreaders based on classified neighbors in real-world complex networks